|Project Description: ||The need for intrusion detection in solving cyber crime has been a very crucial issue for decades. The scope and frequency of research conducted in the field of computer science has increased exponentially. The major motto behind the studies is to safeguard sensitive information and protect it from seditious attackers. Most of the present strategies used in this research field were based on both network based instruction detection system (NIDS) and host based intrusion detection system (HIDS) techniques. Misuse detection and anomaly detection methodologies were also used. The main idea behind these techniques was to achieve a secure way to transmit data from one terminal to another using a variety of methods.
In this paper, a hybrid tool has been proposed for client server networks (CSN). This tool supports a novel, flexible, secured NIDS, which takes network traffic dynamically as input and checks the client for an (internet protocol) IP match. For an invalid client, if the IP does not match with the server’s network address, it is identified as an attacker and stored in a Hit-List by generating a log file in the text format with all its properties (Time, Date, IP and Login Details). Additionally, file transfer for a valid client is processed in a very secure way by encrypting it. In this project, the Blowfish algorithm has been used to encrypt and decrypt the file. Only a user with a valid key can decrypt the file and access it. Thus, this strategy, which makes use of encryption concepts, has increased the level of security outside the network as well as inside the network.